Robust Access Point Clustering in Edge Computing Resource Optimization

• Published in: IEEE eTransactions on network and service management Vol. 19; no. 3; pp. 2738 - 2750
• Main Authors: Yellas, Nour-El-Houda, Boumerdassi, Selma, Ceselli, Alberto, Maaz, Bilal, Secci, Stefano
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; access point clustering; Algorithms; Cloud computing; Clustering; Clustering algorithms; Computational modeling; Computer architecture; Computer Science; Edge computing; MEC resource allocation; Mobile computing; Multi-access edge computing; Networking and Internet Architecture; Optimization; Provisioning; RAN virtualization; Robustness; Task analysis; Virtualization; Access Point Clustering; RAN virtualization; Multi-access Edge Computing; MEC Resource Allocation

Multi-access Edge Computing (MEC) technology has emerged to overcome traditional cloud computing limitations, challenged by the new 5G services with heavy and heterogeneous requirements on both latency and bandwidth. In this work, we tackle the problem of clustering access points in MEC environments...